Abstract
We introduce the concept of nonlinear pricing within the context of our previous Stackelberg network game model and view the Internet Service Provider’s (ISP’s) policy as an incentive policy, and the underlying game as a reverse Stackelberg game. We study this incentive-design problem under complete information as well as incomplete information. In both cases, we show that the game is not generally incentive controllable (that is, there may not exist pricing policies that would lead to attainment of a Pareto-optimal solution), but it is ɛ-incentive controllable (that is, the ISP can induce a behavior on the users that is arbitrarily close to a Pareto-optimal solution). The paper also includes a comparative study of the solutions under linear and nonlinear pricing policies, illustrated by numerical computations.
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References
D. Acemoglu and A. Ozdaglar, Competition and Efficiency in Congested Markets, Mathematics of Operations Research, 2006(to appear).
E. Anderson, F. Kelly and R. Steinberg, A Conteact and Balancing Mechanism for Sharing Capacity in a Communication Network, Management Science, 52(1), pp. 39–53, January 2006.
T. Başar and G. J. Olsder, Dynamic Noncooperative Game Theory. SIAM Series in Classics in Applied Mathematics, Philadelphia, PA, 1999.
T. Basar and R. Srikant, Revenue-Maximizing Pricing and Capacity Expansion in a Many-Users Regime, Proc. IEEE INFOCOM 2002, pp. 1556–1563, New York, June 23–27, 2002.
T. Basar and R. Srikant, AStackelberg Network Game with a Large Number of Followers, J. Optimization Theory and Applications, 115(3), pp. 479–490, Dec. 2002.
C. Courcoubetis and R. Weber, Pricing Communication Networks: Economics, Technology and Modelling. John Wiley & Sons Ltd., Queensland, Australia 2003.
D. Fudenberg and J. Tirole, Game Theory. The MIT Press, Cambridge, MA, 1991.
R. Gibbens, R. Mason and R. Steinberg, Internet Service Classes Under Competition, IEEE J. on Selected Areas in Communications,Vol. 18, no. 12, pp. 2490–2498, Dec. 2000.
L. He and J. Walrand, Pricing Differentiated Internet Services, Proc. IEEE INFOCOM 2005, 1, pp. 195–204
L. He and J. Walrand, Pricing and Revenue Sharing Strategies for Internet Service Providers, Proc. IEEE INFOCOM 2005, 1, pp. 205–217, 2005.
M. Honig and K. Steiglitz, Usage-Based Pricing of Packet Data Generated by a Heterogeneous User Population, Proc. IEEE INFOCOM 1995, 2, pp. 867–874, 1995.
R. Jain and P. Varaiya, An Efficient Incentive-Compatible Combinatorial Market Mechanism, Proc. Allerton Conference, Sept. 2004.
R. Johari and J. Tsitsiklis, Efficiency Loss in a Network Resource Allocation Game, Mathematics of Operations Research, 29(3), pp. 407–435, 2004.
F. Kelly, A. Maulloo and D. Tan, Rate Control for Communication Networks: Shadow Prices, Proportional Fairness and Stability, J. of the Operational Research Society, 49, pp. 237–252, 1998.
R. Maheswaran and T. Basar, Social Welfare of Selfish Agents: Motivating Efficiency for Divisible Resources, Proc. IEEE CDC 2004, pp. 1550–1555, The Bahamas, Dec. 14-17, 2004.
P. Marbach, Analysis of a Static Pricing Scheme for Priority Services, IEEE/ACM Trans. on Networking, Vol. 12, no. 2, pp. 312–325, Apr. 2004.
L. W. McKnight and J. P. Bailey, Eds, Internet Economics. The MIT Press, Cambridge, MA, 1997.
S. Sanghavi and B. Hajek, Optimal Allocation of a Divisible Good to Stragegic Buyers, Proc. IEEE CDC 2004, pp. 2748–2753, The Bahamas, Dec. 14–17, 2004.
H.-X. Shen and T. Basar, Differentiated Internet Pricing Using a Hierarchical Network Game Model, Proc. IEEE ACC 2004, pp. 2322–2327, Boston, MA, June 30-July 2, 2004.
H.-X. Shen and T. Basar, Network Game with a Probabilistic Description of User Types, Proc. IEEE CDC 2004, pp. 4225–4230, The Bahamas, Dec. 14–17, 2004.
J. Shu and P. Varaiya, Pricing Network Services, Proc. IEEE INFOCOM 2003, 2, pp. 1221–1230, Apr. 2003.
A. Sundararajan, Nonlinear Pricing of Information Goods, Management Science, 50(12), pp. 1660–1673, Dec. 2004.
P. Thomas, D. Teneketzis and J. Mackie-Mason, A Market-Based Approach to Optimal Resource Allocation in Integrated-Services Connection-Oriented Networks, Operations Research, 50(4), pp. 603–616, July 2002.
S. Yang and B. Hajek, Revenue and Stability of a Mechanism for Efficient Allocation of a Divisible Good, Preprint, Mar. 2005.
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Shen, H., Başar, T. (2007). Incentive-Based Pricing for Network Games with Complete and Incomplete Information. In: Jørgensen, S., Quincampoix, M., Vincent, T.L. (eds) Advances in Dynamic Game Theory. Annals of the International Society of Dynamic Games, vol 9. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4553-3_22
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DOI: https://doi.org/10.1007/978-0-8176-4553-3_22
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